def test_summary_class(self):
"""
test make summary dict
"""
self.input_module.input_fast_large_file()
wiki_vector = self.input_module.get_vector()
wn_summary_list = APP_ROOT + '/../../Data/wn_summary_list.txt'
self.input_module = InputFileCython(wn_summary_list)
self.input_module.input_special_format_file()
file_list = self.input_module.get_file_data()
count = 0
class_word_vector = {}
class_average_vector = {}
for file in file_list:
self.input_module = InputFileCython(APP_ROOT + "/../../Data/wn_summary/" + file.strip())
self.input_module.input_special_format_file()
if count == 0:
class_summary = ClassSummaryCython(file.strip(), self.input_module.get_file_data(), wiki_vector)
else:
class_summary = ClassSummaryCython(file.strip(), self.input_module.get_file_data(), wiki_vector, class_word_vector, class_average_vector)
class_word_vector, class_average_vector = class_summary.summary_class()
fo = open(APP_ROOT + "/../../Data/test/" + file.strip() + "_vector.txt", 'w')
sys.stdout = fo
print(class_average_vector[file.strip()])
fo.close()
sys.stdout = sys.__stdout__
class_summary_cosine_similarity_cython = ClassSummaryCosineSimilarityCython(class_average_vector)
class_summary_cosine_similarity_cython.summary_class_use_cosine_similarity()
def test_summary_class(self):
"""
test make summary dict
"""
file_list = self.input_module.get_file_data()
wn_average_vector_list = APP_ROOT + '/../../Data/wn_average_vector_list.txt'
self.input_module = InputFileCython(wn_average_vector_list)
self.input_module.input_special_format_file()
vector_list = self.input_module.get_file_data()
class_word_vector = {}
class_average_vector = {}
for file in file_list:
self.input_module = InputFileCython(APP_ROOT + "/../../Data/wn_summary/" + file.strip())
self.input_module.input_special_format_file()
if file.strip() not in class_word_vector:
word_list = re.sub("\]|\[|\'", "", self.input_module.get_file_data()[0].strip())
class_word_vector.update({file.strip().replace(".txt", ""): word_list.split(",")})
for vector in vector_list:
self.input_module = InputFileCython(APP_ROOT + "/../../Data/wn_summary_multi/" + vector.strip())
self.input_module.input_special_format_file()
vector_list = []
if vector.strip() not in class_average_vector:
for value in self.input_module.get_file_data():
value = re.sub("\]|\[|\'", "", value.strip())
[vector_list.append(each_value) for each_value in value.split(" ") if each_value != ""]
vector_list = list(map(float, vector_list))
class_average_vector.update({vector.strip().replace(".txt_vector.txt", ""): vector_list})
class_summary_cosine_similarity_cython = ClassSummaryCosineSimilarityCython(class_word_vector, class_average_vector)
class_summary_cosine_similarity_cython.summary_class_use_cosine_similarity()
def test_summary_class(self):
"""
test make summary dict
"""
file_list = self.input_module.get_file_data()
wn_average_vector_list = APP_ROOT + '/../../Data/wn_average_vector_list.txt'
self.input_module = InputFileCython(wn_average_vector_list)
self.input_module.input_special_format_file()
vector_list = self.input_module.get_file_data()
class_word_vector = {}
class_average_vector = {}
for file in file_list:
self.input_module = InputFileCython(APP_ROOT +
"/../../Data/wn_summary/" +
file.strip())
self.input_module.input_special_format_file()
if file.strip() not in class_word_vector:
word_list = re.sub(
"\]|\[|\'", "",
self.input_module.get_file_data()[0].strip())
class_word_vector.update(
{file.strip().replace(".txt", ""): word_list.split(",")})
for vector in vector_list:
self.input_module = InputFileCython(
APP_ROOT + "/../../Data/wn_summary_multi/" + vector.strip())
self.input_module.input_special_format_file()
vector_list = []
if vector.strip() not in class_average_vector:
for value in self.input_module.get_file_data():
value = re.sub("\]|\[|\'", "", value.strip())
[
vector_list.append(each_value)
for each_value in value.split(" ") if each_value != ""
]
vector_list = list(map(float, vector_list))
class_average_vector.update({
vector.strip().replace(".txt_vector.txt", ""):
vector_list
})
class_summary_cosine_similarity_cython = ClassSummaryCosineSimilarityCython(
class_word_vector, class_average_vector)
class_summary_cosine_similarity_cython.summary_class_use_cosine_similarity(
)
def test_summary_class(self):
"""
test make summary dict
"""
self.input_module.input_fast_large_file()
wiki_vector = self.input_module.get_vector()
wn_summary_list = APP_ROOT + '/../../Data/wn_summary_list.txt'
self.input_module = InputFileCython(wn_summary_list)
self.input_module.input_special_format_file()
file_list = self.input_module.get_file_data()
count = 0
class_word_vector = {}
class_average_vector = {}
for file in file_list:
self.input_module = InputFileCython(APP_ROOT +
"/../../Data/wn_summary/" +
file.strip())
self.input_module.input_special_format_file()
if count == 0:
class_summary = ClassSummaryCython(
file.strip(), self.input_module.get_file_data(),
wiki_vector)
else:
class_summary = ClassSummaryCython(
file.strip(), self.input_module.get_file_data(),
wiki_vector, class_word_vector, class_average_vector)
class_word_vector, class_average_vector = class_summary.summary_class(
)
fo = open(
APP_ROOT + "/../../Data/test/" + file.strip() + "_vector.txt",
'w')
sys.stdout = fo
print(class_average_vector[file.strip()])
fo.close()
sys.stdout = sys.__stdout__
class_summary_cosine_similarity_cython = ClassSummaryCosineSimilarityCython(
class_average_vector)
class_summary_cosine_similarity_cython.summary_class_use_cosine_similarity(
)